Training on Epidemiological Data Analysis Using Stata
Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research. It also gives you the ability to make publication-quality graphics so you can clearly display your findings.
Target Participants
The Epidemiological Data Analysis course is suitable for potential epidemiologists and biostatisticians and current researchers including clinicians, laboratory and social scientists. Participants should have knowledge of Basic Statistics and be familiar with the Statistical package Stata.
Course Duration
Online 7 Days
Classroom-based 5 Days
Principles of Epidemiology
- Epidemiology: concepts and terminology
- Population and Samples
- Measuring disease :Incidence and prevalence
- Study Design
- Intervention studies
- Cohort studies
- Case control studies
- Observational studies
- Measuring the risk factor
- Exercises
Basic analytical procedures
- Review of Stata software
- Basic concepts about data type and analysis
- Introduction to basic Statistical models used in epidemiology
- Chi-square,
- t-test,
- Mann-Whitney
- ANOVA, ANCOVA,
- simple and multiple linear regressions,
- logistic regression.
- Exercises
Sample size determination
- Sample size calculation,
- Sampling weight
- Statistical power
- Constructing valid comparison groups
- Exercises
Epidemiological tables
- 2 × 2 and 2 × 2 stratified table for longitudinal, cohort study, case–control, and matched case–control data
- Odds ratio, incidence ratio, risk ratio, risk difference, and attributable fraction
- Chi-squared, Fishers’s exact, and Mantel–Haenszel tests
Survival Analysis
- Analysis of duration outcomes
- Estimating the probability of survival
- Modeling survival as a function of covariates using Cox, Weibull, lognormal, and other regression models.
- Predict hazard ratios
- Exercises
Cohort Design
- Standard cohort analysis
- Sample weighting
- Adjustment of variance
- Parametric models: poisson regression, Flexible Parametric survival Models (FPM)
- Exercises
Case Control Studies
- Basic design concepts
- Selection of Cases
- Selection of Control
- Matching
- Odds ratio for case control
- Case cohort studies
- Exercises
